Devising Assisted Reproductive Technologies for Wild-Derived Strains of Mice: 37 Strains from Five Subspecies of Mus musculus

Wild-derived mice have long offered invaluable experimental models for mouse genetics because of their high evolutionary divergence from laboratory mice. A number of wild-derived strains are available from the RIKEN BioResource Center (BRC), but they have been maintained as living stocks because of the unavailability of assisted reproductive technology (ART). In this study, we sought to devise ART for 37 wild-derived strains from five subspecies of Mus musculus maintained at the BRC. Superovulation of females was effective (more than 15 oocytes per female) for 34 out of 37 strains by treatment with either equine chorionic gonadotropin or anti-inhibin serum, depending on their genetic background (subspecies). The collected oocytes could be fertilized in vitro at mean rates of 79.0% and 54.6% by the optimized protocol using fresh or frozen-thawed spermatozoa, respectively. They were cryopreserved at the 2-cell stage by vitrification with an ethylene glycol-based solution. In total, 94.6% of cryopreserved embryos survived the vitrification procedure and restored their normal morphology after warming. A conventional embryo transfer protocol could be applied to 25 out of the 35 strains tested. In the remaining 10 strains, live offspring could be obtained by a modified embryo transfer protocol using cyclosporin A treatment and co-transfer of ICR (laboratory mouse strain) embryos. Thus, ART for 37 wild-derived strains was devised successfully and is now routinely used for their preservation and transportation. The information provided here might facilitate broader use and wider distribution of wild-derived mice for biomedical research.     

Pancreatic cancer cells enhance the ability of collagen internalization during epithelial-mesenchymal transition

Background

Extracellular matrix (ECM) remodeling is predominantly mediated by fibroblasts using intracellular and extracellular pathways. Although it is well known that extracellular degradation of the ECM by proteases derived from cancer cells facilitates cellular invasion, the intracellular degradation of ECM components by cancer cells has not been clarified. The aim of this study was to characterize collagen internalization, which is the initial step of the intracellular degradation pathway in pancreatic cancer cells, in light of epithelial–mesenchymal transition (EMT).

Methodology/Principal Findings

We analyzed the function of collagen internalization in two pancreatic cancer cell lines, SUIT-2 and KP-2, and pancreatic stellate cells (PSCs) using Oregon Green 488-gelatin. PSCs had a strong ability for collagen uptake, and the pancreatic cancer cells also internalized collagen although less efficiently. The collagen internalization abilities of SUIT-2 and KP-2 cells were promoted by EMT induced by human recombinant transforming growth factor β1 (P<0.05). Expression of Endo180, a collagen uptake receptor, was high in mesenchymal pancreatic cancer cell lines, as determined by EMT marker expression (P<0.01). Quantitative RT-PCR and western blot analyses showed that Endo180 expression was also increased by EMT induction in SUIT-2 and KP-2 cells. Endo180 knockdown by RNA interference attenuated the collagen uptake (P<0.01) and invasive abilities (P<0.05) of SUIT-2 and KP-2 cells.

Conclusions/Significance

Pancreatic cancer cells are capable of collagen internalization, which is enhanced by EMT. This ECM clearance system may be a novel mechanism for cellular invasion and a potential therapeutic target in pancreatic cancer.     

CD271+ Subpopulation of Pancreatic Stellate Cells Correlates with Prognosis of Pancreatic Cancer and Is Regulated by Interaction with Cancer Cells

Pancreatic stellate cells (PSCs) play a crucial role in the aggressive behavior of pancreatic cancer. Although heterogeneity of PSCs has been identified, the functional differences remain unclear. We characterized CD271⁺ PSCs in human pancreatic cancer. Immunohistochemistry for CD271 was performed for 31 normal pancreatic tissues and 105 pancreatic ductal adenocarcinomas (PDACs). We performed flow cytometry and quantitative RT-PCR, and assessed CD271 expression in PSCs isolated from pancreatic tissues and the changes in CD271 expression in PSCs cocultured with cancer cells. We also investigated the pattern of CD271 expression in a SCID mouse xenograft model. In the immunohistochemical analyses, the CD271-high staining rates in pancreatic stroma in normal pancreatic tissues and PDACs were 2/31 (6.5%) and 29/105 (27.6%), respectively (p = 0.0069). In PDACs, CD271⁺ stromal cells were frequently observed on the edge rather than the center of the tumors. Stromal CD271 high expression was associated with a good prognosis (p = 0.0040). Flow cytometric analyses demonstrated CD271-positive rates in PSCs were 0–2.1%. Quantitative RT-PCR analyses revealed that CD271 mRNA expression was increased in PSCs after coculture with pancreatic cancer cells. However, the level of CD271 mRNA expression subsequently decreased after the transient increase. Furthermore, CD271 mRNA expression was decreased in PSCs migrating toward pancreatic cancer cells through Matrigel. In the xenograft model, CD271⁺ PSCs were present at tumor margins/periphery and were absent in the tumor core. In conclusion, CD271 was expressed in PSCs around pancreatic tumors, but not in the center of the tumors, and expression decreased after long coculture with pancreatic cancer cells or after movement toward pancreatic cancer cells. These findings suggest that CD271⁺ PSCs appear at the early stage of pancreatic carcinogenesis and that CD271 expression is significantly correlated with a better prognosis in patients with PDAC.     

Identification of a Skp1-like protein interacting with SFB, the pollen S determinant of the gametophytic self-incompatibility in Prunus

Many species in Rosaceae, Solanaceae, and Plantaginaceae exhibit S-RNase-based self-incompatibility (SI). In this system, the pistil and pollen specificities are determined by S-RNase and the S locus F-box protein, respectively. The pollen S determinant F-box protein in Prunus (Rosaceae) is referred to by two different terms, SFB (for S-haplotype-specific F-box protein) and SLF (for S locus F box), whereas it is called SLF in Solanaceae and Plantaginaceae. Prunus SFB is thought to be a molecule indispensable for its cognate S-RNase to exert cytotoxicity and to arrest pollen tube growth in incompatible reactions. Although recent studies have demonstrated the molecular function of SCF(SLF) in the SI reaction of Solanaceae and Plantaginaceae, how SFB participates in the Prunus SI mechanism remains to be elucidated. Here we report the identification of sweet cherry (Prunus avium) SFB (PavSFB)-interacting Skp1-like1 (PavSSK1) using a yeast (Saccharomyces cerevisiae) two-hybrid screening against the pollen cDNA library. Phylogenetic analysis showed that PavSSK1 belongs to the same clade as Antirrhinum hispanicum SLF-interacting Skp1-like1 and Petunia hybrida SLF-interacting Skp1-like1 (PhSSK1). In yeast, PavSSK1 interacted not only with PavSFBs from different S haplotypes and Cullin1-likes (PavCul1s), but also with S-locus F-box-likes. A pull-down assay confirmed the interactions between PavSSK1 and PavSFB and between PavSSK1 and PavCul1s. These results collectively indicate that PavSSK1 could be a functional component of the SCF complex and that PavSFB may function as a component of the SCF complex. We discuss the molecular function of PavSFB in self-/nonself-recognition in the gametophytic SI of Prunus.     

From microscopy data to in silico environments for in vivo-oriented simulations

In our previous study, we introduced a combination methodology of Fluorescence Correlation Spectroscopy (FCS) and Transmission Electron Microscopy (TEM), which is powerful to investigate the effect of intracellular environment to biochemical reaction processes. Now, we developed a reconstruction method of realistic simulation spaces based on our TEM images. Interactive raytracing visualization of this space allows the perception of the overall 3D structure, which is not directly accessible from 2D TEM images. Simulation results show that the diffusion in such generated structures strongly depends on image post-processing. Frayed structures corresponding to noisy images hinder the diffusion much stronger than smooth surfaces from denoised images. This means that the correct identification of noise or structure is significant to reconstruct appropriate reaction environment in silico in order to estimate realistic behaviors of reactants in vivo. Static structures lead to anomalous diffusion due to the partial confinement. In contrast, mobile crowding agents do not lead to anomalous diffusion at moderate crowding levels. By varying the mobility of these non-reactive obstacles (NRO), we estimated the relationship between NRO diffusion coefficient (D_nro) and the anomaly in the tracer diffusion (α). For D_nro=21.96 to 44.49 μm²/s, the simulation results match the anomaly obtained from FCS measurements. This range of the diffusion coefficient from simulations is compatible with the range of the diffusion coefficient of structural proteins in the cytoplasm. In addition, we investigated the relationship between the radius of NRO and anomalous diffusion coefficient of tracers by the comparison between different simulations. The radius of NRO has to be 58 nm when the polymer moves with the same diffusion speed as a reactant, which is close to the radius of functional protein complexes in a cell.     

S-LOCUS EARLY FLOWERING 3 is exclusively present in the genomes of short-styled buckwheat plants that exhibit heteromorphic self-incompatibility

The different forms of flowers in a species have attracted the attention of many evolutionary biologists, including Charles Darwin. In Fagopyrum esculentum (common buckwheat), the occurrence of dimorphic flowers, namely short-styled and long-styled flowers, is associated with a type of self-incompatibility (SI) called heteromorphic SI. The floral morphology and intra-morph incompatibility are both determined by a single genetic locus named the S-locus. Plants with short-styled flowers are heterozygous (S/s) and plants with long-styled flowers are homozygous recessive (s/s) at the S-locus. Despite recent progress in our understanding of the molecular basis of flower development and plant SI systems, the molecular mechanisms underlying heteromorphic SI remain unresolved. By examining differentially expressed genes from the styles of the two floral morphs, we identified a gene that is expressed only in short-styled plants. The novel gene identified was completely linked to the S-locus in a linkage analysis of 1,373 plants and had homology to EARLY FLOWERING 3. We named this gene S-LOCUS EARLY FLOWERING 3 (S-ELF3). In an ion-beam-induced mutant that harbored a deletion in the genomic region spanning S-ELF3, a phenotype shift from short-styled flowers to long-styled flowers was observed. Furthermore, S-ELF3 was present in the genome of short-styled plants and absent from that of long-styled plants both in world-wide landraces of buckwheat and in two distantly related Fagopyrum species that exhibit heteromorphic SI. Moreover, independent disruptions of S-ELF3 were detected in a recently emerged self-compatible Fagopyrum species and a self-compatible line of buckwheat. The nonessential role of S-ELF3 in the survival of individuals and the prolonged evolutionary presence only in the genomes of short-styled plants exhibiting heteromorphic SI suggests that S-ELF3 is a suitable candidate gene for the control of the short-styled phenotype of buckwheat plants.     

Molecular cloning and characterization of O-methyltransferases from the flower buds of Iris hollandica

In plants, O-methyltransferases (OMTs) play an important role in methylation of secondary metabolites, especially flavonoids and other phenylpropanoids, and two cDNA clones, IhOMT1 and IhOMT2 (Iris hollandica OMT), encoding OMTs were successfully isolated from a cDNA library of flower buds of I. hollandica. IhOMT1 encodes an open reading frame (ORF) of 365 amino acids with calculated molecular mass of 40,193Da and isoelectric point (pI) of 5.54, while IhOMT2, which shares 31.5% amino acid sequence identity with IhOMT1, encodes 369 amino acids with calculated molecular mass of 40,385Da and pI of 5.50. In addition, the molecular masses of both recombinant IhOMT1 and IhOMT2 proteins were estimated to be about 40kDa by protein gel blot analysis. Characterization of the enzymatic properties using the recombinant IhOMT1 protein confirmed that IhOMT1 cDNA encodes a S-adenosyl-l-methionine (SAM)-dependent caffeic acid 3-OMT, which catalyzes the transfer of the methyl moiety from SAM to caffeic acid to form ferulic acid. Its optimum activity was observed at pH 7.5-8.0 and at 35 degrees C. This is the first report of the isolation and characterization of a COMT cDNA clone involved in the phenylpropanoid biosynthesis of Iridaceae plants. In contrast, IhOMT2 showed no activity in SAM-dependent assays for various phenylpropanoids.     

Hypotensive activity of novokinin, a potent analogue of ovokinin(2-7), is mediated by angiotensin AT(2) receptor and prostaglandin IP receptor

Novokinin (Arg-Pro-Leu-Lys-Pro-Trp) is a potent hypotensive peptide previously designed based on the structure of ovokinin(2-7) (Arg-Ala-Asp-His-Pro-Phe), a vasorelaxing and hypotensive peptide derived from ovalbumin. Novokinin exhibited an affinity for the angiotensin AT(2) receptor (Ki=7.35 microM). Novokinin significantly lowered systolic blood pressure at a dose of 0.03 and 0.1 mg/kg after intravenous and oral administration, respectively, in spontaneously hypertensive rats (SHRs), and the hypotensive activity was blocked by PD123319, an antagonist of the AT(2) receptor. Novokinin lowered blood pressure in C57BL/6J mice after oral administration at a dose of 50 mg/kg. However, in AT(2) receptor-deficient mice, novokinin did not reduce blood pressure. These results demonstrate that the hypotensive activity of novokinin is mediated by the AT(2) receptor. The hypotensive activity of novokinin in SHRs was completely blocked by indomethacin and CAY10441, an inhibitor of cyclooxygenase and an antagonist of the prostaglandin IP receptor, respectively. These suggest that the hypotensive activity is mediated by prostacyclin and the IP receptor downstream of the AT(2) receptor.     

An Integrated Approach of Differential Mass Spectrometry and Gene Ontology Analysis Identified Novel Proteins Regulating Neuronal Differentiation and Survival

MS-based quantitative proteomics is widely used for large scale identification of proteins. However, an integrated approach that offers comprehensive proteome coverage, a tool for the quick categorization of the identified proteins, and a standardized biological study method is needed for helping the researcher focus on investigating the proteins with biologically important functions. In this study, we utilized isobaric tagging for relative and absolute quantification (iTRAQ)-based quantitative differential LC/MS/MS, functional annotation with a proprietary gene ontology tool (Molecular Annotation by Gene Ontology (MANGO)), and standard biochemical methods to identify proteins related to neuronal differentiation in nerve growth factor-treated rat pheochromocytoma (PC12) cells, which serve as a representative model system for studying neuronal biological processes. We performed MS analysis by using both nano-LC-MALDI-MS/MS and nano-LC-ESI-MS/MS for maximal proteome coverage. Of 1,482 non-redundant proteins semiquantitatively identified, 72 were differentially expressed with 39 up- and 33 down-regulated, including 64 novel nerve growth factor-responsive PC12 proteins. Gene ontology analysis of the differentially expressed proteins by MANGO indicated with statistical significance that the up-regulated proteins were mostly related to the biological processes of cell morphogenesis, apoptosis/survival, and cell differentiation. Some of the up-regulated proteins of unknown function, such as PAIRBP1, translationally controlled tumor protein, prothymosin α, and MAGED1, were further analyzed to validate their significant functions in neuronal differentiation by immunoblotting and immunocytochemistry using each antibody combined with a specific short interfering RNA technique. Knockdown of these proteins caused abnormal cell morphological changes, inhibition of neurite formation, and cell death during each course of the differentiation, confirming their important roles in neurite formation and survival of PC12 cells. These results show that our iTRAQ-MANGO-biological analysis framework, which integrates a number of standard proteomics strategies, is effective for targeting and elucidating the functions of proteins involved in the cellular biological process being studied.MS-based quantitative proteomics strategies such as iTRAQ¹ (1) and stable isotope labeling with amino acids in cell culture (2) are powerfully effective for the comprehensive characterization of biological phenomena (1–5). Although these methods have been applied for cancer biomarker (6, 7) and drug target (8) discovery, their use in the elucidation of biological and functional processes has been limited because of certain technical problems that arise when attempting to meaningfully process the immense amount of data obtained from such experiments. The following four main issues are typically the sources of such difficulties. 1) Quantitative identification by one type of MS system may fail to cover the total proteome because of ionization efficiency differences, such as those between ESI and MALDI, for certain peptides, leading to theoretical limitations in proteome coverage. 2) The public protein databases are often insufficient for searching non-human species because of the limited available genomic information. 3) The identification of the functions and biological processes of thousands of proteins is a formidable task because of the lack of simple and user-friendly software to automate gene ontology (GO) annotation. Furthermore it is difficult to convert large lists of taxonomically diverse proteins into their human orthologs to obtain the richest GO information available. 4) Lastly biological validation strategies for identified proteins have not been standardized. Therefore, we believe an analysis framework that provides (a) comprehensive proteome data; (b) a simple and quick tool for organizing, enriching, and sorting those data to reveal candidate molecules for relation to certain processes; and (c) a standardized biological validation technique would greatly benefit this field. We therefore designed a concise, three-step, sequential proteomics strategy that addresses the above concerns and utilized it successfully in studying the mechanism of neuronal differentiation in PC12 cells.PC12 cells (9) have been widely used as a model of neurons because of their unique advantages, such as stability, homogeneity, strong nerve growth factor (NGF) responsiveness, high differentiation potential, and a wealth of accessible background material, which help to facilitate their manipulation (10). This cell line has also been used for studying the mechanisms of neuronal disorders such as Alzheimer (11), Huntington (12), and Parkinson diseases (13) and neurofibromatosis type 1 (14–16). Here we used PC12 cells as a model for characterizing the mechanisms of neuronal differentiation and neurodegenerative disorders by means of MS-based quantitative proteomics.NGF is one member of a family of structurally and functionally related dimeric polypeptides, neurotrophins, that are essential for the development and maintenance of distinct neuronal populations in the central and peripheral nervous systems (17). The initial signaling cascades in the neuronal cells right after NGF stimulation have been subjected to thorough investigation and characterization by using PC12 cells. After binding of extracellular NGF to the cell membrane-localized tropomyosin-related kinase A (TrkA) receptor, TrkA receptors dimerize and subsequently autophosphorylate each other. Then the phosphorylated receptors recruit a complex of signaling molecules and induce a number of intracellular signaling cascades involving the signaling molecules, such as phosphoinositide 3-kinase, phospholipase C-γ, and Ras (18). The posttranslational modifications, such as phosphorylation cascades, triggered by NGF stimulation play important roles in PC12 cell differentiation. However, knowledge of the precise dynamic molecular events of protein expression in response to NGF signaling in PC12 cells after an interval that allows the stimulation to take full effect and produce morphological changes remains far from complete.Several reported studies have applied such methods as expressed sequence tag (19), restriction landmark cDNA scanning (20), targeted display (21), serial analysis of gene expression (22), and cDNA microarray (23) to survey the global change of differentially expressed genes in PC12 cells before and after NGF treatment (19–23). However, the genes and underlying mechanisms associated with the acquisition of a neuronal phenotype in these cells have not been clarified. Also a few proteomics approaches have been used for identifying the proteins related to NGF-inducible neurite formation in PC12 cells. For example, 2-D electrophoresis was applied in whole-cell extract separation to study the NGF modulation of protein synthesis (24); however, only two peptides were identified (25). Even currently available PC12 cell 2-D databases include merely a few proteins related to NGF stimulation (26–29). There is thus a paucity of functional proteomic information related to PC12 cell biological processes that may be attributed to technical limitations such as those listed above.In this study, we performed the first proteomics survey of proteins differentially expressed in PC12 cells during NGF treatment by using a semiquantitative differential LC shotgun method, namely isobaric tagging for relative and absolute quantitation (iTRAQ) coupled with concurrent use of two tandem MS/MS systems, namely nano-LC-MALDI-TOF-TOF and nano-LC-ESI-Quadrupole/quadrupole/time-of-flight mass spectrometers. The total list of proteins identified was converted into a new file linked to the GO database by our proprietary GO analysis tool for proteomes (MANGO) and categorized by biological process and function using specific classification methods. Thereafter we classified the subset of proteins that were up- or down-regulated during neurite formation into specific molecular categories by combining the differential data obtained by iTRAQ with the proteomic GO analysis results. We then attempted to characterize the functional mechanism of NGF-induced PC12 cell neuronal differentiation. Interestingly the specific up-regulated groups classified in this study were related to apoptosis/cell survival in addition to cell motility, differentiation, stress stimulation, and morphogenesis. To investigate the molecular functions of the up-regulated proteins in relation to both PC12 cell differentiation and apoptosis/survival during neurite formation, some of them were further analyzed with a biochemical and cellular biological strategy using a combined antibody and siRNA technique. Lastly we demonstrated the advantages that our concise, sequential proteomics strategy offers for studying the molecular mechanisms of cellular biological events such as cell differentiation and survival/apoptosis.